Artificial intelligence for shrimp disease diagnosis
A new study explores the use of deep learning to automatically classify shrimp diseases, crucial for sustainable production. Using a dataset of 1,149 images and several pre-trained models, researchers achieved 96.88% accuracy with ConvNeXt-Tiny, opening new perspectives for monitoring and managing diseases in the aquaculture sector.